Laura Russo

3.3k total citations · 1 hit paper
99 papers, 2.3k citations indexed

About

Laura Russo is a scholar working on Molecular Biology, Biomedical Engineering and Biomaterials. According to data from OpenAlex, Laura Russo has authored 99 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Molecular Biology, 27 papers in Biomedical Engineering and 22 papers in Biomaterials. Recurrent topics in Laura Russo's work include Glycosylation and Glycoproteins Research (23 papers), 3D Printing in Biomedical Research (15 papers) and Bone Tissue Engineering Materials (14 papers). Laura Russo is often cited by papers focused on Glycosylation and Glycoproteins Research (23 papers), 3D Printing in Biomedical Research (15 papers) and Bone Tissue Engineering Materials (14 papers). Laura Russo collaborates with scholars based in Italy, Ireland and United States. Laura Russo's co-authors include Francesco Nicotra, Laura Cipolla, Julien Nicolas, Luca Gabrielli, Abhay Pandit, Fabio Quondamatteo, Julian R. Jones, Grazia Marsico, Davide Bini and Jesús Jiménez‐Barbero and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Langmuir.

In The Last Decade

Laura Russo

92 papers receiving 2.3k citations

Hit Papers

3D Extracellular Matrix Mimics: Fundamental Concepts and ... 2020 2026 2022 2024 2020 100 200 300

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Laura Russo Italy 27 816 774 608 355 302 99 2.3k
Qiguang Wang China 32 788 1.0× 693 0.9× 539 0.9× 469 1.3× 486 1.6× 155 3.2k
Yan Zhou China 32 735 0.9× 875 1.1× 735 1.2× 196 0.6× 502 1.7× 166 3.1k
Oommen P. Oommen Sweden 25 602 0.7× 411 0.5× 541 0.9× 180 0.5× 274 0.9× 45 1.6k
Yukiko T. Matsunaga Japan 16 1.3k 1.6× 317 0.4× 573 0.9× 164 0.5× 314 1.0× 45 2.1k
Oommen P. Varghese Sweden 29 736 0.9× 621 0.8× 621 1.0× 241 0.7× 203 0.7× 57 2.0k
Akshay Srivastava India 25 733 0.9× 529 0.7× 557 0.9× 336 0.9× 213 0.7× 72 2.1k
Caihong Zhu China 24 814 1.0× 559 0.7× 725 1.2× 167 0.5× 327 1.1× 44 1.9k
Leo Wang United States 18 663 0.8× 630 0.8× 696 1.1× 132 0.4× 384 1.3× 61 2.1k
Michael C. Hacker Germany 26 830 1.0× 456 0.6× 890 1.5× 129 0.4× 356 1.2× 87 2.0k
Dezhong Zhou China 35 642 0.8× 1.8k 2.3× 902 1.5× 468 1.3× 168 0.6× 81 3.8k

Countries citing papers authored by Laura Russo

Since Specialization
Citations

This map shows the geographic impact of Laura Russo's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Laura Russo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Laura Russo more than expected).

Fields of papers citing papers by Laura Russo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Laura Russo. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Laura Russo. The network helps show where Laura Russo may publish in the future.

Co-authorship network of co-authors of Laura Russo

This figure shows the co-authorship network connecting the top 25 collaborators of Laura Russo. A scholar is included among the top collaborators of Laura Russo based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Laura Russo. Laura Russo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Nicotra, Francesco, et al.. (2025). 3D Bioprintable hydrogels via enzymatic crosslinking of hyaluronic acid and phenol-functionalized gelatin to mimic extracellular (ECM) network. Carbohydrate Polymer Technologies and Applications. 11. 100928–100928.
2.
Previdi, Fabio, et al.. (2025). Artificial Intelligence tool for prediction of ECM mimics hydrogel formulations via click chemistry. Biomaterials Advances. 175. 214323–214323. 9 indexed citations
3.
Salerno, Domenico, E Ballarini, Luca Crippa, et al.. (2025). Bioresponsive Hyaluronic Acid‐Based Hydrogel Inhibits Matrix Metalloproteinase‐2 in Glioblastoma Microenvironment. ChemMedChem. 20(15). e202401040–e202401040. 3 indexed citations
4.
Koch, Marcus, Silvia Sesana, Lucia Salvioni, et al.. (2024). Biodegradable SPI-based hydrogel for controlled release of nanomedicines: A potential approach against brain tumors recurrence. Journal of Drug Delivery Science and Technology. 96. 105672–105672. 8 indexed citations
5.
Pignatelli, Cataldo, Krisztina Kerekes, András Dinnyés, et al.. (2024). Chitosan-based multimodal polymeric nanoparticles targeting pancreatic β-cells. Carbohydrate Polymer Technologies and Applications. 8. 100610–100610.
6.
Nicotra, Francesco, et al.. (2024). Plasma-Treated Collagen Functionalized With Chondroitin Sulfate as Bioactive and Nanostructured Extracellular Matrix Mimics. Nanomedicine. 19(9). 799–810. 1 indexed citations
7.
Tagliaro, Franco, et al.. (2023). Chitosan derivatives as dynamic coatings for transferrin glycoform separation in capillary electrophoresis. International Journal of Biological Macromolecules. 254(Pt 2). 127888–127888. 4 indexed citations
8.
Scocozza, Franca, Laura Cansolino, Federica Riva, et al.. (2023). Characterization of a Bioink Combining Extracellular Matrix-like Hydrogel with Osteosarcoma Cells: Preliminary Results. Gels. 9(2). 129–129. 17 indexed citations
9.
Turati, Marco, Massimiliano Piatti, Laura Russo, et al.. (2023). Meniscal Allograft Transplants in Skeletally Immature Patients: A Systematic Review of Indications and Outcomes. Healthcare. 11(9). 1312–1312. 3 indexed citations
10.
Kerekes, Krisztina, Magdolna Bodnár, Cataldo Pignatelli, et al.. (2022). Multivalent γ‐PGA‐Exendin‐4 Conjugates to Target Pancreatic β‐Cells. ChemBioChem. 23(17). e202200196–e202200196. 2 indexed citations
11.
Bigogno, Chiara, Silvia Sesana, E Pozzi, et al.. (2022). Givinostat-Liposomes: Anti-Tumor Effect on 2D and 3D Glioblastoma Models and Pharmacokinetics. Cancers. 14(12). 2978–2978. 14 indexed citations
13.
Russo, Laura, et al.. (2020). Biomedical Hydrogels Fabricated Using Diels–Alder Crosslinking. European Journal of Organic Chemistry. 2021(3). 374–382. 37 indexed citations
14.
Russo, Laura. (2020). Glycans in Nanomedicine: Where Are We Now?. Nanomedicine. 15(24). 2325–2328. 1 indexed citations
15.
Pastori, Valentina, et al.. (2020). Neoglycosylated Collagen: Effect on Neuroblastoma F-11 Cell Lines. Molecules. 25(19). 4361–4361. 2 indexed citations
16.
Russo, Laura, et al.. (2020). Glycan-Functionalized Collagen Hydrogels Modulate the Glycoenvironment of a Neuronal Primary Culture. Biomacromolecules. 21(7). 2681–2694. 14 indexed citations
17.
Magro, Roberta Dal, Francesca Tinelli, Francesca Re, et al.. (2019). A New Approach for Glyco-Functionalization of Collagen-Based Biomaterials. International Journal of Molecular Sciences. 20(7). 1747–1747. 6 indexed citations
18.
Re, Francesca, et al.. (2018). Phage-displayed peptides targeting specific tissues and organs. Journal of drug targeting. 27(5-6). 555–565. 28 indexed citations
19.
Russo, Laura & Laura Cipolla. (2016). Glycomics: New Challenges and Opportunities in Regenerative Medicine. Chemistry - A European Journal. 22(38). 13380–13388. 36 indexed citations
20.
Cipolla, Laura, et al.. (2016). Bioresponsive Hydrogels: Chemical Strategies and Perspectives in Tissue Engineering. Gels. 2(4). 28–28. 39 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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